The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-11"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "20343589 (up from 20089624 yesterday: 1.26 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "742625 (up from 736191 yesterday: 0.87 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5396161

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.65



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5141208 46808 0.92 1241997 164537 1074 0.66 3.20
Brazil 3109630 52160 1.71 949976 103026 1274 1.25 3.31
India 2329638 60963 2.69 1136560 46091 834 1.84 1.98
Russia 895691 4892 0.55 113651 15103 130 0.87 1.69
South Africa 566109 2511 0.45 184311 10751 130 1.22 1.90
Mexico 492522 6686 1.38 136267 53929 926 1.75 10.95
Peru 489680 6547 1.36 127593 21501 225 1.06 4.39
Colombia 410453 12830 3.23 199415 13475 321 2.44 3.28
Chile 376616 1572 0.42 41933 10178 39 0.38 2.70
Iran 331189 2345 0.71 52362 18800 184 0.99 5.68
Spain 326612 3632 1.12 60418 28581 5 0.02 8.75
United Kingdom 313394 2 0.00 16005 46611 0 0.00 14.87
Saudi Arabia 291468 1521 0.52 35643 3233 34 1.06 1.11
Pakistan 285191 531 0.19 17763 6112 15 0.25 2.14
Bangladesh 263503 2996 1.15 52993 3471 33 0.96 1.32
Argentina 260911 7043 2.77 124793 5004 240 5.04 1.92
Italy 251237 412 0.16 6485 35215 6 0.02 14.02
Turkey 243180 1183 0.49 21680 5873 15 0.26 2.42
France 239355 6 0.00 24748 30328 1 0.00 12.67
Germany 219540 1032 0.47 15823 9208 5 0.05 4.19
Iraq 156995 3396 2.21 59836 5531 67 1.23 3.52
Philippines 139538 2900 2.12 68774 2312 18 0.78 1.66
Indonesia 128776 1693 1.33 38907 5824 59 1.02 4.52
Canada 122389 336 0.28 8916 9038 4 0.04 7.38
Qatar 113646 384 0.34 6216 188 0 0.00 0.17
Kazakhstan 100855 691 0.69 25702 1269 211 19.94 1.26
Egypt 95834 168 0.18 6756 5059 24 0.48 5.28
Ecuador 95563 862 0.91 19346 5951 19 0.32 6.23
Bolivia 93328 1693 1.85 30971 3761 49 1.32 4.03
China 88958 52 0.06 3644 4693 4 0.09 5.28
Israel 86593 1871 2.21 32551 622 9 1.47 0.72
Ukraine 85023 1211 1.44 23569 1979 29 1.49 2.33
Sweden 83126 154 0.19 4960 5770 4 0.07 6.94
Oman 82050 263 0.32 12163 533 12 2.30 0.65
Dominican Republic 81094 595 0.74 26297 1346 18 1.36 1.66
Panama 76464 1070 1.42 21311 1680 16 0.96 2.20
Belgium 75008 388 0.52 10750 9885 6 0.06 13.18
Kuwait 73068 668 0.92 12634 486 4 0.83 0.67
Belarus 69005 58 0.08 2657 592 3 0.51 0.86
Romania 63762 1215 1.94 24629 2764 35 1.28 4.33
United Arab Emirates 62966 262 0.42 5468 358 1 0.28 0.57
Netherlands 60940 882 1.47 8633 6180 2 0.03 10.14
Guatemala 57966 979 1.72 17737 2233 11 0.50 3.85
Singapore 55353 61 0.11 6919 27 0 0.00 0.05
Poland 52961 551 1.05 12179 1821 12 0.66 3.44
Portugal 52945 120 0.23 4047 1761 2 0.11 3.33
Japan 50302 685 1.38 23839 1058 6 0.57 2.10
Honduras 48403 531 1.11 13058 1515 9 0.60 3.13
Nigeria 47290 423 0.90 9489 956 6 0.63 2.02
Bahrain 44804 407 0.92 7488 165 2 1.23 0.37
Ghana 41404 192 0.47 12415 215 0 0.00 0.52
Armenia 40593 160 0.40 5339 803 7 0.88 1.98
Kyrgyzstan 40455 370 0.92 12204 1478 4 0.27 3.65
Afghanistan 37269 107 0.29 1654 1344 16 1.20 3.61
Switzerland 36895 187 0.51 3153 1990 3 0.15 5.39
Algeria 36204 492 1.38 11926 1322 10 0.76 3.65
Morocco 35195 1132 3.32 17453 533 17 3.29 1.51
Azerbaijan 33731 84 0.25 5489 495 3 0.61 1.47
Uzbekistan 31747 443 1.42 13866 204 4 2.00 0.64
Serbia 28497 235 0.83 6892 652 6 0.93 2.29
Moldova 28223 382 1.37 6781 857 7 0.82 3.04
Venezuela 27938 1138 4.25 15164 238 9 3.93 0.85
Kenya 27425 497 1.85 13257 438 15 3.55 1.60
Ireland 26801 33 0.12 999 1773 1 0.06 6.62
Costa Rica 24508 636 2.66 12697 255 11 4.51 1.04
Ethiopia 24175 584 2.48 13103 440 20 4.76 1.82
Nepal 23948 638 2.74 5954 83 4 5.06 0.35
Austria 22245 139 0.63 2418 723 0 0.00 3.25
Australia 22127 414 1.91 9233 352 21 6.34 1.59
El Salvador 21269 397 1.90 8687 570 7 1.24 2.68
Czechia 18783 289 1.56 4459 391 1 0.26 2.08
Cameroon 18213 171 0.95 1691 398 3 0.76 2.19
Cote d’Ivoire 16847 49 0.29 2316 105 0 0.00 0.62
Denmark 15291 156 1.03 1785 621 1 0.16 4.06
West Bank and Gaza 14875 365 2.52 5647 104 4 4.00 0.70
Korea, South 14714 54 0.37 835 305 0 0.00 2.07
Bosnia and Herzegovina 14708 210 1.45 5921 447 22 5.18 3.04
Bulgaria 13722 210 1.55 4468 471 12 2.61 3.43
Madagascar 13317 115 0.87 5769 152 1 0.66 1.14
North Macedonia 12083 141 1.18 2671 529 1 0.19 4.38
Sudan 12033 77 0.64 1041 786 5 0.64 6.53
Senegal 11380 68 0.60 2395 238 2 0.85 2.09
Kosovo 10419 0 0.00 4542 341 0 0.00 3.27

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 578946 4715 0.82 169641 10523 47 0.45 1.82 14652.33 266.32 1 in 68
Florida 542792 5831 1.09 172958 8553 276 3.33 1.58 25272.31 398.23 1 in 40
Texas 517700 8119 1.59 166629 9222 -8 -0.09 1.78 17854.26 318.05 1 in 56
New York 422003 667 0.16 13822 32787 6 0.02 7.77 21692.84 1685.40 1 in 46
Georgia 222588 3563 1.63 73600 4351 122 2.88 1.95 20964.41 409.80 1 in 48
Illinois 198248 1549 0.79 33384 7866 20 0.25 3.97 15644.79 620.75 1 in 64
Arizona 188737 1214 0.65 40054 4199 45 1.08 2.22 24785.25 551.42 1 in 40
New Jersey 185475 444 0.24 8219 15890 12 0.08 8.57 20881.67 1788.97 1 in 48
North Carolina 138743 1181 0.86 35527 2248 49 2.23 1.62 13228.63 214.34 1 in 76
Louisiana 133125 1164 0.88 36542 4313 26 0.61 3.24 28636.46 927.77 1 in 35
Pennsylvania 125016 795 0.64 17556 7343 29 0.40 5.87 9765.36 573.58 1 in 102
Tennessee 124915 1001 0.81 42971 1271 38 3.08 1.02 18280.67 186.00 1 in 55
Massachusetts 121707 392 0.32 7674 8751 10 0.11 7.19 17513.05 1259.23 1 in 57
Alabama 103851 831 0.81 33493 1847 50 2.78 1.78 21180.31 376.69 1 in 47
Ohio 102826 1095 1.08 25611 3708 35 0.95 3.61 8796.74 317.22 1 in 114
South Carolina 102130 971 0.96 28793 2098 50 2.44 2.05 19836.02 407.48 1 in 50
Virginia 101745 996 0.99 22374 2344 17 0.73 2.30 11920.19 274.62 1 in 84
Michigan 98213 907 0.93 15154 6533 7 0.11 6.65 9834.23 654.16 1 in 102
Maryland 96843 585 0.61 17298 3604 13 0.36 3.72 16018.55 596.13 1 in 62
Indiana 75862 870 1.16 17946 3069 25 0.82 4.05 11268.50 455.87 1 in 89
Mississippi 68293 644 0.95 22769 1944 32 1.67 2.85 22946.77 653.19 1 in 44
Washington 64151 504 0.79 15576 1716 19 1.12 2.67 8424.41 225.35 1 in 119
Minnesota 61839 323 0.53 14382 1707 6 0.35 2.76 10965.08 302.68 1 in 91
Wisconsin 61785 724 1.19 17650 1006 8 0.80 1.63 10611.54 172.78 1 in 94
Missouri 61440 1081 1.79 26246 1346 5 0.37 2.19 10010.71 219.31 1 in 100
Nevada 57520 548 0.96 19992 981 18 1.87 1.71 18674.38 318.49 1 in 54
Colorado 51422 402 0.79 10381 1874 12 0.64 3.64 8929.39 325.42 1 in 112
Connecticut 50684 117 0.23 2588 4444 0 0.00 8.77 14215.97 1246.46 1 in 70
Arkansas 50411 383 0.77 15756 566 11 1.98 1.12 16704.41 187.55 1 in 60
Iowa 49521 356 0.72 9800 946 12 1.28 1.91 15695.69 299.83 1 in 64
Utah 44752 362 0.82 9740 349 4 1.16 0.78 13959.01 108.86 1 in 72
Oklahoma 44728 765 1.74 18402 618 13 2.15 1.38 11303.60 156.18 1 in 88
Kentucky 35793 539 1.53 11733 783 8 1.03 2.19 8011.55 175.26 1 in 125
Kansas 31468 285 0.91 8539 393 7 1.81 1.25 10801.44 134.90 1 in 93
Nebraska 29030 334 1.16 5840 351 3 0.86 1.21 15007.18 181.45 1 in 67
Idaho 25598 494 1.97 9775 246 7 2.93 0.96 14284.08 137.27 1 in 70
Puerto Rico 23403 582 2.55 10463 287 8 2.87 1.23 7327.88 89.86 1 in 136
New Mexico 22643 199 0.89 5126 693 3 0.43 3.06 10798.69 330.50 1 in 93
Oregon 21774 286 1.33 6635 368 11 3.08 1.69 5162.48 87.25 1 in 194
Rhode Island 20053 119 0.60 2067 1016 1 0.10 5.07 18929.34 959.07 1 in 53
Delaware 15699 65 0.42 1953 591 0 0.00 3.76 16121.98 606.92 1 in 62
District of Columbia 12896 89 0.69 1469 593 2 0.34 4.60 18272.79 840.24 1 in 55
South Dakota 9713 50 0.52 1694 146 0 0.00 1.50 10979.37 165.04 1 in 91
North Dakota 7885 172 2.23 2678 118 5 4.42 1.50 10346.93 154.84 1 in 97
West Virginia 7879 122 1.57 2707 147 6 4.26 1.87 4408.70 82.25 1 in 227
New Hampshire 6861 21 0.31 599 419 0 0.00 6.11 5045.93 308.15 1 in 198
Montana 5104 87 1.73 2393 77 2 2.67 1.51 4775.55 72.04 1 in 209
Maine 4052 1 0.02 329 126 1 0.80 3.11 3014.41 93.74 1 in 332
Alaska 3819 45 1.19 1777 26 0 0.00 0.68 5220.46 35.54 1 in 192
Hawaii 3756 118 3.24 2338 34 0 0.00 0.91 2652.78 24.01 1 in 377
Wyoming 3073 31 1.02 835 29 1 3.57 0.94 5309.64 50.11 1 in 188
Vermont 1472 10 0.68 106 58 0 0.00 3.94 2359.02 92.95 1 in 424

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 9186279 578946 6.30 2649347 169641 6.40 232492.1
2 Florida 4049275 542792 13.40 949525 172958 18.22 188533.6
3 Texas 4088863 517700 12.66 1045289 166629 15.94 141015.3
4 New York 6640705 422003 6.35 1409724 13822 0.98 341361.9
5 Georgia 1895485 222588 11.74 600194 73600 12.26 178525.9
6 Illinois 3149003 198248 6.30 838974 33384 3.98 248504.4
7 Arizona 1037275 188737 18.20 229609 40054 17.44 136216.6
8 New Jersey 2350310 185475 7.89 532355 8219 1.54 264609.3
9 North Carolina 2017498 138743 6.88 558501 35527 6.36 192361.0
10 Louisiana 1568564 133125 8.49 445602 36542 8.20 337413.1
11 Pennsylvania 1375594 125016 9.09 319831 17556 5.49 107451.6
12 Tennessee 1740784 124915 7.18 502551 42971 8.55 254754.8
13 Massachusetts 1346344 121707 9.04 287163 7674 2.67 193732.4
14 Alabama 783689 103851 13.25 183308 33493 18.27 159832.6
15 Ohio 1707770 102826 6.02 507747 25611 5.04 146099.4
16 South Carolina 796351 102130 12.82 197658 28793 14.57 154669.9
17 Virginia 1271545 101745 8.00 331453 22374 6.75 148971.0
18 Michigan 2146554 98213 4.58 617179 15154 2.46 214937.9
19 Maryland 1067459 96843 9.07 303092 17298 5.71 176565.6
20 Indiana 861655 75862 8.80 216850 17946 8.28 127989.8
21 Mississippi 504404 68293 13.54 109206 22769 20.85 169482.1
22 Washington 1013754 64151 6.33 187400 15576 8.31 133127.8
23 Minnesota 946030 61839 6.54 69171 14382 20.79 167746.8
24 Wisconsin 1080400 61785 5.72 282002 17650 6.26 185558.1
25 Missouri 787220 61440 7.80 206900 26246 12.69 128265.5
26 Nevada 524749 57520 10.96 125927 19992 15.88 170364.4
27 Colorado 597182 51422 8.61 145883 10381 7.12 103700.2
28 Connecticut 911299 50684 5.56 248462 2588 1.04 255603.3
29 Arkansas 572868 50411 8.80 133233 15756 11.83 189828.1
30 Iowa 523920 49521 9.45 101487 9800 9.66 166056.5
31 Utah 578549 44752 7.74 103106 9740 9.45 180460.6
32 Oklahoma 714235 44728 6.26 216745 18402 8.49 180500.4
33 Kentucky 668355 35793 5.36 159662 11733 7.35 149598.0
34 Kansas 326669 31468 9.63 65138 8539 13.11 112129.7
35 Nebraska 305732 29030 9.50 67291 5840 8.68 158049.4
36 Idaho 208405 25598 12.28 57334 9775 17.05 116293.2
38 New Mexico 632997 22643 3.58 156500 5126 3.28 301883.0
39 Oregon 457088 21774 4.76 111825 6635 5.93 108372.8
40 Rhode Island 224170 20053 8.95 39206 2067 5.27 211608.7
41 Delaware 202200 15699 7.76 43853 1953 4.45 207647.9
42 District of Columbia 224749 12896 5.74 69038 1469 2.13 318454.6
43 South Dakota 122409 9713 7.93 22564 1694 7.51 138368.6
44 North Dakota 171858 7885 4.59 34565 2678 7.75 225517.1
45 West Virginia 330609 7879 2.38 90283 2707 3.00 184992.6
46 New Hampshire 175399 6861 3.91 30577 599 1.96 128997.3
47 Montana 194412 5104 2.63 53410 2393 4.48 181901.2
48 Maine 192453 4052 2.11 50210 329 0.66 143171.6
49 Alaska 290744 3819 1.31 112118 1777 1.58 397438.3
50 Hawaii 145836 3756 2.58 39053 2338 5.99 103000.8
51 Wyoming 58852 3073 5.22 14687 835 5.69 101686.5
52 Vermont 103957 1472 1.42 19010 106 0.56 166600.7

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 548313 12712 2.37 381843 69.64 147513 18650 344 1.88 3.40
Tamil Nadu 314520 5871 1.90 256313 81.49 52929 5278 119 2.31 1.68
Andhra Pradesh 254146 9597 3.92 161425 63.52 90425 2296 93 4.22 0.90
Karnataka 196494 7883 4.18 112633 57.32 80341 3511 113 3.33 1.79
Delhi 148504 1113 0.76 133405 89.83 10946 4153 14 0.34 2.80
Uttar Pradesh 136238 4475 3.40 84661 62.14 49347 2230 54 2.48 1.64
West Bengal 104326 2936 2.90 76120 72.96 26003 2203 54 2.51 2.11
Bihar 90553 3741 4.31 60068 66.33 30010 474 9 1.94 0.52
Telangana 84544 1897 2.30 61294 72.50 22596 654 9 1.40 0.77
Gujarat 74390 1152 1.57 57493 77.29 14184 2713 18 0.67 3.65
Assam 69000 4593 7.13 47210 68.42 21626 161 6 3.87 0.23
Rajasthan 56100 1213 2.21 41648 74.24 13630 822 11 1.36 1.47
Odisha 50672 1876 3.84 36479 71.99 13835 358 9 2.58 0.71
Haryana 44024 797 1.84 36694 83.35 6827 503 3 0.60 1.14
Madhya Pradesh 41604 870 2.14 31239 75.09 9317 1048 15 1.45 2.52
Kerala 38144 1212 3.28 24922 65.34 13047 127 6 4.96 0.33
Punjab 26909 1020 3.94 17212 63.96 9022 675 39 6.13 2.51
Jammu and Kashmir 26413 482 1.86 18523 70.13 7392 498 8 1.63 1.89
Jharkhand 20257 788 4.05 12197 60.21 7858 202 8 4.12 1.00
Chhattisgarh 13552 567 4.37 9508 70.16 3935 109 5 4.81 0.80
Uttarakhand 10886 454 4.35 6687 61.43 4020 140 4 2.94 1.29
Goa 9924 480 5.08 6641 66.92 3194 89 3 3.49 0.90
Tripura 6497 110 1.72 4838 74.47 1598 43 0 0.00 0.66
Puducherry 6381 481 8.15 3676 57.61 2609 96 5 5.49 1.50
Manipur 3982 41 1.04 2231 56.03 1739 12 0 0.00 0.30
Himachal Pradesh 3636 139 3.97 2362 64.96 1229 17 0 0.00 0.47
Nagaland 3118 87 2.87 1113 35.70 1991 7 0 0.00 0.22
Arunachal Pradesh 2430 103 4.43 1659 68.27 768 3 0 0.00 0.12
Andaman and Nicobar Islands 1900 136 7.71 829 43.63 1050 21 0 0.00 1.11
Ladakh 1811 41 2.32 1274 70.35 528 9 0 0.00 0.50
Chandigarh 1751 81 4.85 1023 58.42 700 27 1 3.85 1.54
Dadra and Nagar Haveli and Daman and Diu 1695 39 2.36 1243 73.33 437 2 0 0.00 0.12
Meghalaya 1179 37 3.24 517 43.85 656 6 0 0.00 0.51
Sikkim 930 17 1.86 550 59.14 379 1 0 0.00 0.11
Mizoram 648 25 4.01 330 50.93 318 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1379246 96952 68 0.07 7.03 160 10 5514 16833 17.36
Piemonte 524849 31914 26 0.08 6.08 85 3 822 4136 12.96
Emilia-Romagna 737749 30179 19 0.06 4.09 76 4 1790 4298 14.24
Veneto 1322808 20741 65 0.31 1.57 33 6 1300 2085 10.05
Toscana 454393 10674 22 0.21 2.35 18 1 535 1137 10.65
Liguria 203325 10304 11 0.11 5.07 18 2 223 1569 15.23
Lazio 444980 8883 23 0.26 2.00 203 9 1101 867 9.76
Marche 177759 6960 4 0.06 3.92 11 0 162 987 14.18
Campania 351505 5114 23 0.45 1.45 44 2 402 440 8.60
P.A. Trento 163615 4998 2 0.04 3.05 5 0 75 405 8.10
Puglia 258978 4760 20 0.42 1.84 38 1 229 554 11.64
Sicilia 299393 3574 89 2.55 1.19 44 6 538 284 7.95
Abruzzo 136795 3512 3 0.09 2.57 23 1 219 472 13.44
Friuli Venezia Giulia 272158 3452 3 0.09 1.27 8 3 156 348 10.08
P.A. Bolzano 115114 2775 1 0.04 2.41 6 0 128 292 10.52
Umbria 129301 1511 1 0.07 1.17 9 0 52 80 5.29
Sardegna 114271 1461 20 1.39 1.28 6 0 82 134 9.17
Calabria 129136 1300 11 0.85 1.01 8 1 112 97 7.46
Valle d’Aosta 22631 1217 0 0.00 5.38 5 0 15 146 12.00
Molise 29271 479 0 0.00 1.64 1 0 33 23 4.80
Basilicata 49641 477 1 0.21 0.96 0 0 73 28 5.87

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 60718 91 0.15 5697 1 0.02 9.38 7111.77 667.28 1 in 141
Ontario 42162 80 0.19 2832 0 0.00 6.72 2865.86 192.50 1 in 349
Alberta 11772 85 0.73 216 3 1.41 1.83 2667.48 48.94 1 in 375
British Columbia 4111 46 1.13 195 0 0.00 4.74 804.36 38.15 1 in 1243
Saskatchewan 1479 29 2.00 20 0 0.00 1.35 1251.62 16.93 1 in 799
Nova Scotia 1071 0 0.00 64 0 0.00 5.98 1095.70 65.48 1 in 913
Manitoba 562 4 0.72 8 0 0.00 1.42 407.98 5.81 1 in 2451
Newfoundland and Labrador 268 0 0.00 3 0 0.00 1.12 514.04 5.75 1 in 1945
New Brunswick 177 1 0.57 2 0 0.00 1.13 226.93 2.56 1 in 4407
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4181 59 1.41
Guangdong 1699 8 0.47
Henan 1276 22 1.72
Zhejiang 1275 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 932 1 0.11
Xinjiang 875 3 0.34
Shandong 817 7 0.86
Shanghai 798 7 0.88
Jiangsu 659 0 0.00
Sichuan 616 3 0.49
Chongqing 583 6 1.03
Fujian 368 1 0.27
Hebei 350 6 1.71
Shaanxi 341 3 0.88
Liaoning 261 2 0.77
Inner Mongolia 259 1 0.39
Guangxi 255 2 0.78
Tianjin 205 3 1.46
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 15712.74 502.86 1 in 64
Brazil 14857.29 492.24 1 in 67
India 1739.83 34.42 1 in 575
Russia 6198.55 104.52 1 in 161
South Africa 9980.77 189.55 1 in 100
Mexico 3812.09 417.41 1 in 262
Peru 15221.64 668.36 1 in 66
Colombia 8364.64 274.61 1 in 120
Chile 20865.15 563.88 1 in 48
Iran 4080.69 231.64 1 in 245
Spain 6999.83 612.54 1 in 143
United Kingdom 4716.95 701.55 1 in 212
Saudi Arabia 8848.45 98.15 1 in 113
Pakistan 1447.67 31.03 1 in 691
Bangladesh NA NA 1 in NA
Argentina 5893.63 113.03 1 in 170
Italy 4154.05 582.26 1 in 241
Turkey 3009.28 72.68 1 in 332
France 3573.00 452.72 1 in 280
Germany 2651.77 111.22 1 in 377

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 228343 23592 10.33
Los Angeles California 210874 4999 2.37
Miami-Dade Florida 135130 1909 1.41
Maricopa Arizona 126791 2382 1.88
Cook Illinois 112484 4933 4.39
Harris Texas 87505 1616 1.85
Broward Florida 63605 856 1.35
Dallas Texas 55553 785 1.41
Clark Nevada 49646 828 1.67
Suffolk New York 43893 1998 4.55
Nassau New York 43724 2195 5.02
Bexar Texas 43164 806 1.87
Riverside California 41983 820 1.95
Orange California 40527 724 1.79
Palm Beach Florida 37641 940 2.50
Westchester New York 36272 1447 3.99
San Bernardino California 36072 546 1.51
Hillsborough Florida 32996 395 1.20
San Diego California 32975 594 1.80
Tarrant Texas 32469 457 1.41
Orange Florida 32042 315 0.98
Philadelphia Pennsylvania 31584 1700 5.38
Wayne Michigan 28423 2828 9.95
Middlesex Massachusetts 26565 2006 7.55
Kern California 24995 183 0.73
Prince George’s Maryland 24009 761 3.17
Duval Florida 23741 198 0.83
Shelby Tennessee 23625 314 1.33
Travis Texas 23249 307 1.32
Mecklenburg North Carolina 22462 233 1.04
Suffolk Massachusetts 22017 1076 4.89
Milwaukee Wisconsin 21331 458 2.15
Salt Lake Utah 20903 200 0.96
Fulton Georgia 20874 445 2.13
Davidson Tennessee 20865 219 1.05
Bergen New Jersey 20864 2038 9.77
Hidalgo Texas 20431 849 4.16
Gwinnett Georgia 20382 272 1.33
Essex New Jersey 19776 2113 10.68
Hudson New Jersey 19717 1505 7.63
Hennepin Minnesota 19569 839 4.29
Franklin Ohio 18697 529 2.83
Montgomery Maryland 18558 803 4.33
Pima Arizona 18381 501 2.73
Pinellas Florida 18103 513 2.83
Fairfield Connecticut 18081 1409 7.79
Middlesex New Jersey 17959 1408 7.84
Essex Massachusetts 17930 1194 6.66
Fresno California 17846 171 0.96
Passaic New Jersey 17705 1242 7.01
El Paso Texas 16936 307 1.81
Cameron Texas 16906 454 2.69
King Washington 16808 686 4.08
Union New Jersey 16749 1349 8.05
Lee Florida 16718 351 2.10
Out of GA Georgia 16668 96 0.58
Fairfax Virginia 16544 529 3.20
Marion Indiana 16088 730 4.54
Oakland Michigan 15751 1131 7.18
Nueces Texas 15731 249 1.58
Jefferson Louisiana 15452 529 3.42
St. Louis Missouri 15284 672 4.40
Providence Rhode Island 15047 0 0.00
Polk Florida 14645 326 2.23
DeKalb Georgia 14292 242 1.69
Cobb Georgia 14006 323 2.31
Rockland New York 13954 674 4.83
San Joaquin California 13870 235 1.69
Cuyahoga Ohio 13734 505 3.68
Worcester Massachusetts 13686 1007 7.36
Alameda California 13631 205 1.50
Baltimore Maryland 13374 566 4.23
Jefferson Alabama 13366 246 1.84
New Haven Connecticut 13240 1106 8.35
Santa Clara California 12962 207 1.60
District of Columbia District of Columbia 12896 593 4.60
Baltimore City Maryland 12893 431 3.34
Lake Illinois 12852 447 3.48
Hartford Connecticut 12826 1415 11.03
Charleston South Carolina 12454 203 1.63
DuPage Illinois 12427 522 4.20
East Baton Rouge Louisiana 12377 354 2.86
Sacramento California 12274 179 1.46
Wake North Carolina 12148 176 1.45
Yuma Arizona 11633 285 2.45
Tulare California 11549 198 1.71
Douglas Nebraska 11532 136 1.18
Orange New York 11180 491 4.39
Greenville South Carolina 11028 213 1.93
Orleans Louisiana 10805 562 5.20
Oklahoma Oklahoma 10794 115 1.07
Tulsa Oklahoma 10747 108 1.00
Norfolk Massachusetts 10682 997 9.33
Macomb Michigan 10676 948 8.88
Ocean New Jersey 10640 1020 9.59
Mobile Alabama 10581 212 2.00
Collier Florida 10487 143 1.36
Polk Iowa 10444 208 1.99
Yakima Washington 10389 211 2.03
Monmouth New Jersey 10348 856 8.27

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc